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Manager Data Engineering Jobs in Austin, TX (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

... engineering or analytics. • Advanced SQL skills and hands-on relational database work. • Expertise in building and optimizing big data pipelines using Python. • Experience managing data ...

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains ... Managing data pipeline, ETL/ELT processes using SQL and Python * Maintaining data lifecycle and ...

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Perform vendor management and oversight as needed. Ability to work outside of standard business ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Perform vendor management and oversight as needed. Ability to work outside of standard business ...

Data Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

... data management • Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers) • Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics • ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Management Office (PMO). • Answer provider, partner, and vendor questions; assist in ...

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Management Office (PMO). • Answer provider, partner, and vendor questions; assist in ...

Senior Data Engineer II

Austin, TX

$105K - $142K/yr

... engineering looks like in an AI-first world. You\'ll manage data APIs, architect Spark-driven workflows at scale, design data platforms as products, and build the next generation of intelligent ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Experience using GitHub for source control, branching, pull requests, collaboration, and release management of data engineering assets. * Demonstrated ability to implement data quality, metadata ...

Showing results 21-40

Manager Data Engineering information

See Austin, TX salary details

$30.7K

$96.3K

$170.5K

How much do manager data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager data engineering in Austin, TX is $96,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What job categories do people searching Manager Data Engineering jobs in Austin, TX look for? The top searched job categories for Manager Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Manager Data Engineering jobs? Cities near Austin, TX with the most Manager Data Engineering job openings:

Data Engineering Manager, OTS - Data ANCHOR Team

Amazon

Austin, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,064 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Join the OTS Data ANCHOR team to build strategic analytics powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact, creating intelligence that directly influences how Amazon fulfills millions of orders.
As a Data Engineering Manager, you'll lead one of our core teams responsible for transforming operational data into actionable insights and building mission-critical data products that power worldwide operations business decisions across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus

In this role, you'll drive technical excellence while building and mentoring a high-performing team of business intelligence engineers and data engineers, architecting scalable solutions that process enormous amounts of data daily. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains to enable our teams to support IT operations globally.
Key job responsibilities
- Delivery of robust, scalable data solutions supporting OTS data infrastructure.
- Leadership in data governance and quality standards.
- Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
- Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment

The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3.

Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skill sets.

If you're passionate about this role and want to make an impact on a global scale, please apply!


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US